Benefits:

• Competitive compensation package

• 100% paid medical, dental, and vision premiums

• 401K plan with 6% employer match

• Flexible schedule and generous vacation

• AD+D and Life Insurance

Education Requirements:

• Bachelor's in Computer Science, Software Engineering, or related field

• Master's in Computer Science, Software Engineering, or related field

Experience Requirements:

• 6+ years applied MLE experience (w/ Bachelors)

• 3+ years applied MLE experience (w/ Masters)

• Experience with LiDAR-based localization or SLAM

• Proficiency with PyTorch

• Understanding of 3D geometry and spatial transforms

Other Requirements:

• Python or C++ skills

• Knowledge of Ray or Kubernetes

• Experience with large multimodal datasets

Responsibilities:

• Design and optimize ML models for localization

• Develop high-performance training workflows

• Integrate localization models into autonomy stack

• Analyze failure cases and drive experimentation

• Contribute to system design and documentation

Benefits:

• Competitive compensation package

• 100% paid medical, dental, and vision premiums

• 401K plan with 6% employer match

• Flexible schedule and generous vacation

• AD+D and Life Insurance

Education Requirements:

• Bachelor's in Computer Science, Software Engineering, or related field

• Master's in Computer Science, Software Engineering, or related field

Experience Requirements:

• 6+ years applied MLE experience (w/ Bachelors)

• 3+ years applied MLE experience (w/ Masters)

• Understanding of ML for 3D BEV space modeling

• Expertise in lane and road geometry concepts

• Mastery of Python and PyTorch

Other Requirements:

• CUDA kernel writing experience

• PhD in ML or Data Science (Bonus)

• Mentorship of junior team members

Responsibilities:

• Training monocular and multimodal detection models

• Enhance perception systems for sensor fusion

• Design deep learning models for BEV framework

• Develop data processing and annotation pipelines

• Deploy models on edge devices

Benefits:

• Competitive compensation package

• 100% paid medical, dental, and vision premiums

• 401K plan with 6% employer match

• Flexible schedule and generous vacation

• AD+D and Life Insurance

Education Requirements:

• Master's or PhD in Computer Science, Electrical Engineering, or Robotics

Experience Requirements:

• 10+ years in deep learning for perception or 3D vision

• Expertise in BEV modeling and 3D scene understanding

• Strong background in multi-modal sensor fusion

• Proficiency in Python and PyTorch/TensorFlow

• Experience with distributed training

Other Requirements:

• Knowledge of MLOps tools like Ray

• Mentorship of technical teams

• Understanding of deployment constraints

Responsibilities:

• Lead BEV model development roadmap

• Design advanced multi-modal architectures

• Own large-scale training workflows

• Establish evaluation frameworks

• Mentor and guide ML engineers